Evidence map›Paper›PMID 37711297›Full record

ArticleFrontiers in plant science2023

Progressive drought alters the root exudate metabolome and differentially activates metabolic pathways in cotton (

Heng-An Lin, Harrison R Coker, Julie A Howe, Malak M Tfaily, Elek M Nagy, Sanjay Antony-Babu, Steve Hague, A Peyton Smith

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  11. Exopolysaccharide is required byFrontiers in microbiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Heng-An LinDepartment of Soil and Crop Sciences, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
Harrison R CokerDepartment of Soil and Crop Sciences, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
Julie A HoweDepartment of Soil and Crop Sciences, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
Malak M TfailyDepartment of Environmental Science, University of Arizona, Tucson, AZ, United States.
Elek M NagyDepartment of Plant Pathology and Microbiology, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
Sanjay Antony-BabuDepartment of Plant Pathology and Microbiology, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
Steve HagueDepartment of Soil and Crop Sciences, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.
A Peyton SmithDepartment of Soil and Crop Sciences, Texas A&M University and Texas A&M AgriLife Research, College Station, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root exudates comprise various primary and secondary metabolites that are responsive to plant stressors, including drought. As increasing drought episodes are predicted with climate change, identifying shifts in the metabolome profile of drought-induced root exudation is necessary to understand the molecular interactions that govern the relationships between plants, microbiomes, and the environment, which will ultimately aid in developing strategies for sustainable agriculture management. This study utilized an aeroponic system to simulate progressive drought and recovery while non-destructively collecting cotton (

Indexed as

aeroponicsdroughtFT-ICR MSnondestructive samplingroot exudatesuntargeted metabolomicsupland cotton

Identifiers

PMID37711297
PMCPMC10499043

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.